Guest post: Brian Buckley, Boston University; Volunteer, Northeast Big Data Innovation Hub On Wednesday, August 18, 2021, five researchers studying a wide range of topics on the global pandemic presented their work as part of the ongoing COVID-19 Research Webinar series organized through the COVID Information Commons (CIC). The COVID Information Commons is […]
On Friday, July 16th, 2021, five researchers studying a wide range of topics on the global pandemic presented their work as part of the ongoing COVID-19 Research Webinar series organized through the COVID Information Commons (CIC). The COVID Information Commons is an NSF-funded project organized by the Big Data Innovation […]
Watch the full webinar here. On Wednesday, June 9, 2021, six researchers studying wide-ranging aspects of the current pandemic came together as a part of the ongoing COVID-19 Research Webinar series organized through the COVID Information Commons, to share their research and insights with our community. This month’s event featured […]
Watch the full webinar here. On Wednesday, May 19 2021, five researchers studying wide-ranging aspects of the current pandemic came together as a part of the ongoing COVID-19 Research Webinar series organized through the COVID Information Commons, to share their research and answer questions from our community. This month’s event […]
During February’s COVID Information Commons (CIC) webinar, researchers, students, and non-profit leaders gathered to discuss and collaborate on research about COVID. The webinar featured talks from seven scientists from across the nation who shared insights on their NSF-funded research. Speakers included Naomi Senehi from Rice University, Nicola Sochacka from the […]
On Wednesday, January 13, 2021, seven scientists from across the nation joined us as part of the ongoing COVID-19 Research Webinar series organized through the COVID Information Commons. During the event, each researcher shared their work, providing new insights regarding the global pandemic and revealed some of the unexpected implications […]
Over 80 people convened for this month’s COVID webinar, as six NSF Rapid Response Research investigators from across the United States shared their research topics and findings regarding the COVID-19 pandemic, and the new COVID Information Commons Student Paper Challenge was announced. This month’s presenters included Foad Hamidi (University of […]
This month’s Covid Information Commons (CIC) webinar brought together researchers, students and leaders in nonprofits. The CIC serves as a platform for researchers and scientists to share knowledge and collaborate on research about COVID. This month, the CIC project team announced the launch of a new feature at covidinfocommons.net: the […]
Eight scientists spoke with an enthusiastic community at the second COVID-19 Research Webinar organized by the COVID Information Commons on October 16, 2020. Presenters who shared their latest research findings regarding the current pandemic included Rachel Wu (University of California-Riverside), Sara Rampazzi (University of Michigan), Sarah Bowman (Hauptman-Woodward Medical Research […]
Study to set groundwork to build machine learning models that rapidly analyze how a virus spreads In April when New York City was under a strict lockdown, a team of 16 student researchers from New York University’s Tandon School of Engineering commenced a National Science Foundation Rapid Response Research (RAPID) […]
We tried to understand to what extent people coming from a COVID-19-infected environment interact with the built and natural environment. Specifically, we wanted to understand in three dimensions what people touched, how much they touched, and where they went coming out of hospitals and urgent care facilities at the peak of the COVID-19 outbreak.
The role of contaminated surfaces (fomites) in community transmission of SARS-CoV-2 has been debated. Our team is sampling high-touch public surfaces during the ongoing pandemic to improve understanding of the risk of SARS-CoV-2 infection when the public accesses essential businesses such as grocery stores, pharmacies, and gas stations.
We are designing a public health solution for contact tracing built around digital ecosystems. Our current focus is on improving privacy, user-experience, effectiveness, and adoption of digital contact tracing. With so many issues at forefront, the challenge to solve the contact tracing puzzle is manifold.
The Northeast Big Data Hub is delighted to announce our Seed Fund program this month. Designed to promote collaboration in data science, the Seed Fund will encourage the cross-pollination of ideas, data and tools across disciplines and sectors including academia, industry, government, and communities. Funding provided through this program is intended […]
Studying the causes of disease is essential to medical research. However, the discussion is sometimes framed, misleadingly, as ‘nature vs. nurture’—is your condition the result of your genetics or your environment? Generally, the answer is both. But to what degree? A new study in Nature Genetics explores this question for […]
“Leveraging Big Data for Healthcare Revolution” Guest post from Professor Yi Chen, Henry J. Leir Chair in Healthcare, Associate Professor in the Martin Tuchman School of Management (MT-SoM) at New Jersey Institute of Technology (NJIT). On October 5th and 6th, a symposium on Data Science for Healthcare (DaSH), sponsored by the Leir […]
Click here for a PDF version of this release. Click here for the press release from the National Science Foundation (NSF). The National Science Foundation (NSF) has announced $3.3 million in grants to researchers affiliated with the Northeast Big Data Innovation Hub. A common theme underlying the projects below is […]
Data science and biomedicine are a powerful combination, and the Northeast region is well poised to bring them together. The provision of health care and the discovery of biological knowledge are heavily focused on information, with highly complex, vast data sets harboring the potential for transformative impact when partnered with the […]